Co-occurring keywords · papers mentioning both
Papers
On Diversified Preferences of Large Language Model Alignment
EMNLP 2024
On Online Experimentation without Device Identifiers
ICML 2024
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models
IJCAI 2024
Optimizing Language Models for Human Preferences is a Causal Inference Problem
UAI 2024
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
ICML 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences
NeurIPS 2024
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
ICML 2024
Prediction-Powered Ranking of Large Language Models
NeurIPS 2024
Preference-Guided Reflective Sampling for Aligning Language Models
EMNLP 2024
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
NeurIPS 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
CVPR 2024
Prototypical Reward Network for Data-Efficient RLHF
ACL 2024
RAIN: Your Language Models Can Align Themselves without Finetuning
ICLR 2024
Reinforcement Learning from Diverse Human Preferences
IJCAI 2024
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset
NeurIPS 2024
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation
NeurIPS 2024
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
ICLR 2024
SpeechAlign: Aligning Speech Generation to Human Preferences
NeurIPS 2024
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction
CoRL 2024
Trajectory Improvement and Reward Learning from Comparative Language Feedback
CoRL 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
ICLR 2024
Unsupervised Human Preference Learning
EMNLP 2024
VBench: Comprehensive Benchmark Suite for Video Generative Models
CVPR 2024
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
NeurIPS 2024
Aligning Language Models with Human Preferences via a Bayesian Approach
NeurIPS 2023